Closing the gap between data and customer experience: The practical path toward personalization as a growth strategy

Why personalization is important

Personalization has become a top priority for marketers, but many teams struggle to know where to begin. The challenge often isn’t understanding the value of personalization—it’s knowing how to justify the investment, minimize risk and prove results before scaling.

A test-and-learn approach can help solve this problem. Instead of launching large-scale personalization programs all at once, marketers can start with focused tests to see how stronger customer insights, more relevant messages and better reach affect results.

Small tests help teams see what works, measure impact and build confidence before investing more. This approach works whether a brand is just getting started or wanting to improve existing personalization programs.

The value of personalizing marketing interactions

The opportunity is significant. According to McKinsey research, 71% of consumers expect companies to deliver personalized interactions and 76% get frustrated when they don’t.

At the same time, today’s customer journey is increasingly fragmented across devices, channels and moments in time, making it harder for brands to consistently deliver relevant experiences.

The result is a growing gap between customer expectations and what many organizations can deliver.

One of the biggest personalization challenges brands face is understanding their customers well enough to make messaging meaningful. When customer information is incomplete, spread across multiple systems or based on assumptions rather than data, it becomes difficult to create experiences that feel relevant and useful.

This resource provides a practical test- and-learn framework for personalization, helping businesses of all experience levels take the first step.

Rather than trying to transform everything at once, brands start by understanding their customers more deeply, testing new approaches, measuring results and continuously improving over time.

To help you close the gap between data and customer experience, this white paper examines:

• Why personalization efforts often fail to deliver meaningful business outcomes
• What happens when personalization goes right—and when it goes wrong
• 3 steps to get started with personalization
• How Epsilon can help drive your data personalization efforts